Study of an adaptive frame size predictor to enhance energy conservation in wireless sensor networks
- 7 February 2005
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Journal on Selected Areas in Communications
- Vol. 23 (2), 283-292
- https://doi.org/10.1109/jsac.2004.839400
Abstract
Technological advances in low-power digital signal processors, radio frequency (RF) circuits, and micromechanical systems (MEMS) have led to the emergence of wirelessly interconnected sensor nodes. The new technological possibilities emerge when a large number of tiny intelligent wireless sensor nodes are combined. The sensor nodes are typically battery operated and, therefore, energy constrained. Hence, energy conservation is one of the foremost priorities in design of wireless sensor networks (WSNs) protocols. Limited power resources and bursty nature of the wireless channel are the biggest challenges in WSNs. Link adaptation techniques improve the link quality by adjusting medium access control (MAC) parameters such as frame size, data rate, and sleep time, thereby improving energy efficiency. In This work, our study emphasizes optimizing WSNs by building a reliable and adaptive MAC without compromising fairness and performance. Here, we present link adaptation techniques at MAC layer to enhance energy efficiency of the sensor nodes. The proposed MAC uses a variable frame size instead of a fixed frame size for transmitting data. In order to get accurate estimations, as well as reducing the computation complexity, we utilize the extended Kalman filter to predict the optimal frame size for improving energy efficiency and goodput, while minimizing the sensor memory requirement. Next, we designed and verified different network models to evaluate and analyze the proposed link adaptation schemes. The correctness of the proposed theoretical models have been verified by conducting extensive simulations. We also prototype the proposed scheme with the MAC protocol on Berkeley Motes. Both prototype and simulation results show that the proposed algorithms improve the energy efficiency by up to 15%.Keywords
This publication has 11 references indexed in Scilit:
- Energy efficiency based packet size optimization in wireless sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- An overview of Wireless Sensor Network and applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Sensor networks: Evolution, opportunities, and challengesProceedings of the IEEE, 2003
- Real-time communication and coordination in embedded sensor networksProceedings of the IEEE, 2003
- An energy-efficient MAC protocol for wireless sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Data link layer design for wireless sensor networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A transmission control scheme for media access in sensor networksPublished by Association for Computing Machinery (ACM) ,2001
- Frame size adaptation for indoor wireless networksElectronics Letters, 2001
- Adaptive radio for multimedia wireless linksIEEE Journal on Selected Areas in Communications, 1999
- New extension of the Kalman filter to nonlinear systemsPublished by SPIE-Intl Soc Optical Eng ,1997